Robust Discovery of Positive and Negative Rules in Knowledge-Bases

@inproceedings{Meduri2017RobustDO,
  title={Robust Discovery of Positive and Negative Rules in Knowledge-Bases},
  author={Valentino Meduri},
  year={2017}
}
We present RuDiK, a system for the discovery of declarative rules over knowledge-bases (KBs). RuDiK discovers rules that express positive relationships between entities, such as “if two persons have the same parent, they are siblings”, and negative rules, i.e., patterns that identify contradictions in the data, such as “if two persons are married, one cannot be the child of the other”. While the former class infers new facts in the KB, the latter class is crucial for other tasks, such as… CONTINUE READING

From This Paper

Topics from this paper.
1 Citations
27 References
Similar Papers

Citations

Publications citing this paper.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…